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Data Engineer
Reserve Bank of New ZealandData Engineer role at Reserve Bank of New Zealand focusing on data systems and collections. Collaborate with data professionals and support enhancements in a flexible environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, SQL, and ETL/ELT processes, with a strong focus on enhancing data systems and supporting analytics platforms. Proficient in Azure cloud environments and DevOps methodologies to ensure efficient data engineering practices.
Highest-signal resume keywords
Data ModelingSQLETL/ELT ProcessesAzure Cloud EnvironmentsDevOps Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSQLETL ProcessesELT ProcessesSnowflakeDbtPythonCI/CD PipelinesSoftware Development LifecycleGit Version Control
Tools & Technologies
Power BIAzure
Industry Keywords
Data EngineeringAnalyticsReporting PlatformsCurated Datasets
Tech Stack
Tools & technologiesAzureCloudETLPythonSDLCSQL
About the role
Key responsibilities & impact- Support the ongoing support, maintenance, and enhancement of systems that support storage, processing, and retrieval of the Bank’s data products
- Supporting the delivery of two brand new data collections
- Implementing changes, resolving defects, applying upgrades, and adding new data to meet evolving business needs
- Work closely with colleagues across the Operations Group to evolve the data engineering practice using appropriate frameworks and tools and consistently applying these to daily work
Requirements
What you’ll need- Strong knowledge of data modelling, including normalised and dimensional models techniques
- Skilled in SQL, Snowflake, dbt, and end-to-end ETL/ELT processes
- Experience in Azure cloud environments
- Experience supporting analytics and reporting platforms, including enabling curated datasets for tools such as Power BI
- Familiarity with Python
- Strong knowledge of DevOps methodologies, Git version control, CI/CD pipelines, and the full Software Development Lifecycle (SDLC), including build and deployment across environments
Benefits
Comp & perks- Flexible working arrangements
- Additional leave options
- Wellness package
- Public transport subsidy
- Generous parental leave provisions
- Fitness passport
- Learning and development opportunities
- Access to numerous social, networking and sporting activities